AI app development with Vercel AI SDK: Fast, scalable, and flexible
Thanks to the rapid development of AI models, completely new possibilities are opening up in software and app development. It has never been easier to create truly personalized user experiences, perform complex data analyses, or automate complex business processes. However, there is one crucial problem when integrating AI models: switching from one AI model to the next is often complicated (more on this topic: AI consulting) because APIs are not fully compatible. The Vercel AI SDK finally solves this problem.
Advantages of AI app development with Vercel AI SDK
Vercel AI SDK offers developers a solid platform that makes it easy to switch between AI models such as OpenAI's ChatGPT, Google's Gemini, or Anthropic's Claude. Vercel's AI SDK acts as an interface between your code base and the AI model. This means that an AI model can be replaced without having to modify your application's code. As Germany's leading app agency, we can support you in integrating all major LLM providers via the unified Vercel AI SDK. This allows your app to evolve with any AI ecosystem, eliminating the need for rewriting glue code, API adjustments, or tedious re-engineering tasks. This has three advantages:
Minimal costs thanks to flexible model selection
Highly fluctuating costs for LLM models can quickly become a competitive advantage or disadvantage. The Vercel AI SDK makes it possible to quickly switch to the most cost-effective model as soon as inference costs change. This ensures that applications remain economically viable.
Future-proof & top performance
New LLM models are released almost weekly. The model that offered the best performance for your app yesterday may already be technically obsolete tomorrow. With the Vercel AI SDK, you can keep up with the latest trends and always integrate the most powerful model.
Uniform development environment
The Vercel AI SDK standardizes your application's communication with various AI models. This makes it easier to work with a uniform, clear, and easy-to-maintain code base.
Key features of the Vercel AI SDK
Vercel KI SDK offers a whole range of useful features that simplify the integration of LLM models. Since it is also a free open-source application that can be used flexibly without other Vercel services, there is no risk of potentially costly vendor lock-in in the long term.
End-to-end development of AI apps: from prompt engineering to UI integration
Real-time AI experiences through streaming
High latency can drive app users to despair. Even well-designed user experiences can become an ordeal. The Vercel AI SDK natively supports token-based streaming. This means that users can see AI responses in real time—just like with ChatGPT or Perplexity.
Structured output and tool calls
Many AI applications already go far beyond simple text output. This gives rise to new problems: data formats can be incorrect and answers may simply not make sense. Tool calls and function calling can improve the quality of AI responses thanks to backend interaction.
TypeScript-native, developer-friendly infrastructure
The Vercel AI SDK is written entirely in TypeScript, offering type safety and seamless integration with modern full-stack frameworks. This means fewer bugs, easier maintenance, and faster iteration cycles.
Our approach to software and AI app development with Vercel
As Berlin's leading app agency, we specialize in creating AI apps that integrate seamlessly with the Vercel AI SDK. We work with modern and efficient frontend frameworks, edge-optimized infrastructure, and have extensive experience in generative AI integration, prompt engineering, and developing AI agents for businesses. Our developers use Vercel AI SDK, Next.js, and serverless backends to program scalable, production-ready applications for startups and enterprises. Our services include:
FAQ – Vercel AI SDK
If you still have questions, you will find a summary of the most important answers here.
What is Vercel AI SDK?
Vercel AI SDK is an open-source library that provides a unified interface for various LLM providers such as OpenAI, Anthropic, Mistral, and Google. It standardizes streaming, tool calling, and structured output.
Do I need Vercel hosting to use the AI SDK?
No. The Vercel AI SDK is completely independent of the hosting platform. You can use it in any environment—local, AWS, Azure, GCP, Docker, or on-premises.
What advantages does the AI SDK offer over direct API integrations?
You no longer need to write glue code when switching models or providers. Streaming, structured output, and tool calling work consistently, even when provider APIs differ significantly.
Can I switch between LLM providers at any time?
Yes. That's one of the main advantages of Vercel AI SDK: the unified API allows you to swap models without having to adjust your entire code base. Ideal when prices, latencies, or model quality change.
Does the Vercel AI SDK support real-time streaming?
Yes. Vercel AI SDK delivers token-based streaming right out of the box. Users see AI responses in real time—similar to ChatGPT or Perplexity.
How does structured output work?
Vercel AI SDK can automatically check responses against a schema (e.g., JSON). This results in fewer parsing errors, and the AI consistently delivers usable data formats.
What is tool calling and why is it important?
Tool calling allows the model to execute backend functions such as API calls, database queries, or calculations. This makes AI responses more reliable, traceable, and actionable.
Is Vercel AI SDK secure and suitable for production environments?
Yes. The AI SDK is Typescript-based, strongly typed, and suitable for production-ready LLM architectures. We combine it with proven security and rate limiting strategies.
How does the SDK integrate with front-end frameworks such as React or Next.js?
The AI SDK's UI library makes it easy to connect streaming responses, chat interfaces, and generative UI. React Server Components (RSC) are available for Next.js.
Is Vercel AI SDK free?
Yes. The SDK is open source and free of charge. You only pay for the AI models you use (OpenAI, Anthropic, etc.).
Is the SDK suitable for multi-agent systems?
Yes. Structured output, tool calling, and simple message routing make the SDK ideal for agent-based workflows.
We look forward to your project!
Would you like to open up new digital worlds with your company or organization? Send us a message or give us a call! We will get back to you within a few hours.